Summary
Nikhil Sridhar is a robotics-focused Member of Technical Staff with nine years of engineering experience, currently building cross-embodiment foundation models at a stealth AI startup in Los Gatos. He holds a BS and MS in Computer Science (with a Mathematics minor) from the University of Michigan and has research ties to Stanford and UMich labs, contributing to ICRA 2025 work on language-gesture controlled video generation for robot planning. His expertise spans affordance-driven priors, skill-based reinforcement learning for continual adaptation, and physics-consistent world models, informed by hands-on roles in bimanual manipulation, ROS systems, and embedded automation at Nimble Robotics. Comfortable bridging theory and product, he has led teams and shipped solutions in both academic and commercial settings, and often seeks semantically meaningful object constraints to simplify downstream planning.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Michigan
Saratoga High School
Spanish, English